Peripheral inflammatory markers indicate microstructural damage within periventricular white matter hyperintensities in Alzheimer's disease: A preliminary report

Abstract

Introduction

White matter hyperintensities (WMH) presumed to reflect cerebral small vessel disease and increased peripheral inflammatory markers are found commonly in Alzheimer's disease (AD), but their interrelationships remain unclear.

Methods

Inflammatory markers were assayed in 54 elderly participants (n = 16 with AD). Periventricular WMH were delineated from T1, T2/proton density, and fluid-attenuated magnetic resonance imaging using semiautomated fuzzy lesion extraction and coregistered with maps of fractional anisotropy (FA), a measure of microstructural integrity assessed using diffusion tensor imaging.

Results

Mean FA within periventricular WMH was associated with an inflammatory factor consisting of interleukin (IL)-1β, tumor necrosis factor, IL-10, IL-21, and IL-23 in patients with AD (ρ = −0.703, P = .002) but not in healthy elderly (ρ = 0.217, P = .190). Inflammation was associated with greater FA in deep WMH in healthy elderly (ρ = 0.425, P = .008) but not in patients with AD (ρ = 0.174, P = .520).

Discussion

Peripheral inflammatory markers may be differentially related to microstructural characteristics within the white matter affected by cerebral small vessel disease in elders with and without AD.

1 Introduction

Many inflammatory markers are increased in peripheral blood in people with Alzheimer's disease (AD), although most findings have been inconsistent, showing high heterogeneity between studies 1. Several studies have suggested longitudinal relationships between peripheral inflammatory markers and cognitive decline in AD 2, but how these observations relate precisely to changes in brain tissue is not well understood.

Lesions to the white matter because of disease of the small cerebral blood vessels may contribute to the onset and progression of AD 3. Observed clinically as white matter hyperintensities (WMHs) on T2-weighted magnetic resonance imaging (MRI), these lesions may result from hypoperfusion secondary to arteriosclerosis, cerebral amyloid angiopathy, or venous disease with collagenosis or tortuosity 4. Pathology studies reveal loss of the ventricular ependyma in the vicinity of periventricular WMH and arteriolar sclerosis within deep WMH 4, 5. Immunohistochemistry reveals markers of hypoxia and endothelial activation in WMH, in concert with microglial and astrocyte activation 4, suggesting a link between WMH and inflammatory activation.

The purpose of this study was to determine how peripheral blood cytokines related to AD or implicated in hypoxic responses are related to deep and periventricular WMH, both in people with and without AD. Recently reduced microstructural integrity was found in WMH, with lower fractional anisotropy (FA) particularly in cases of more severe WMH 6. Appreciating that WMHs are associated with inflammatory mechanisms that may threaten white matter microstructural integrity, here we examine the relationship between peripheral inflammatory markers and FA within white matter lesions.

2 Methods

To represent strata of high WMH and low WMH burden, patients from transient ischemic attack (non-AD with extensive WMH) and memory clinics (AD with and without extensive WMH) and healthy control subjects of similar age (minimal WMH) were recruited. Patients with cortical infarcts were excluded.

MRI (T1, proton density/T2, and fluid-attenuated inversion recovery [FLAIR]) was performed at 3.0 T and intensity inhomogeneity corrected using N3. Deep and periventricular WMH were delineated using Lesion Explorer, an in-house semiautomatic segmentation (www.sabre.brainlab.ca) with a three-dimensional connectivity algorithm 7.

Diffusion tensor imaging (DTI) was obtained, and WMH masks were transformed to DTI space using parameters obtained from the T2 and the DTI B0 images. Values of FA were derived after eddy-current and motion-correction using the FMRIB Diffusion Toolbox; means, medians, and standard deviations were calculated for deep and periventricular WMH regions separately.

Certain inflammatory markers with suspected roles in AD 1 or cerebral hypoxic responses 8-10 were assayed by multiplex magnetic bead immunoassay (EMD Millipore) from serum samples obtained at the time of MRI (stored at −80°C). It was considered that hypoxia might contribute to the production of interleukin (IL)-23, IL-21, and IL-17 cytokines 9; tumor necrosis factor (TNF), IL-1β, and IL-6 are also involved in hypoxic responses 10 and AD 1; and these can induce IL-10 release 10 as part of the immune response. Confirmatory factor analysis (CFA) was used to identify a single factor accounting for variation (and covariation) in cytokine data (Mplus, version 7.4, Muthén & Muthén, Los Angeles, CA, USA). To evaluate the proposed model we considered a nonsignificant χ², comparative fit index >0.90, Tucker-Lewis Index >0.95, root mean square error of approximation <0.06, and weighted root mean square residual near or <0.08 to indicate adequate fit 11. Inflammatory factor scores were compared with mean FA values in deep and periventricular WMH using Spearman's rho in AD and non-AD participants separately, and Bonferroni corrected (α = 0.05/4).

3 Results

Concentrations of IL-1β, TNF, IL-10, IL-21, and IL-23 informed an inflammatory factor (Fig. 1) with excellent fit indices (χ²₍₅₎ = 6.8774, P = .230; root mean square error of approximation = 0.070, comparative fit index = 0.972, Tucker-Lewis Index = 0.945, and weighted root mean square residual = 0.049), although IL-6, IL-17A, and IL-17F were excluded from the model because of poor factor loadings, resulting in poor fit indices.

Figure 1

Structure of an inflammatory factor informed by five cytokines. Factor loadings onto the inflammatory factor for each cytokine shown in column at right and residual variances shown in column at left. Abbreviations: IL, interleukin; TNF, tumor necrosis factor.

MRI volumetrics and FA maps were obtained for 54 participants including 16 AD (76.4 ± 7.7 years, 51.2% male) and 38 non-AD subjects (71.4 ± 9.5 years, 44.8% male) similar in age and gender proportion (P > .05). Volumes of deep (2136 ± 2550 vs. 1627 ± 2049 mm³, P = .331) and periventricular (19,274 ± 21,947 vs. 15,812 ± 19,279 mm³, P = .464) WMH did not differ between AD and non-AD participants. Mean FA in deep (0.268 ± 0.055 vs. 0.277 ± 0.065, P = .605) and periventricular (0.239 ± 0.046 vs. 0.236 ± 0.041, P = .814) WMH did not differ between AD and non-AD participants.

The inflammatory factor score was correlated with lower mean FA in periventricular WMH (ρ = −0.703 P = .002) in patients with AD but not in others (ρ = 0.217, P = .190; Fig. 2A). The inflammatory factor score was associated with higher mean FA in deep WMH in non-AD participants (ρ = 0.425, P = .008) but not in those with AD (ρ = 0.174, P = .520; Fig. 2B). In post hoc comparisons, the inflammatory factor score was not correlated with WMH volumes in either group (all P > .3).

Figure 2

Correlations between a peripheral inflammatory factor and microstructural integrity within (A) periventricular WMH and (B) deep WMH. Abbreviations: AD, Alzheimer's disease; FA, fractional anisotropy; WMH, white matter hyperintensity.

4 Discussion

These preliminary data suggest that microstructural white matter damage because of small vessel disease is associated with a peripheral inflammatory response in AD. Consistent with a previous report 12, correlations between inflammatory markers and volumes of deep or periventricular WMH were not observed, although here this may be because of small sample size. In this study, the combination of anatomic and T2-weighted MRI sequences to delineate WMH and DTI coregistration to assess the integrity of tissue within these lesions was required to observe associations.

The inflammatory factor tested included the proinflammatory cytokines TNF and IL-1β that have been associated with AD 1, the immunoregulatory cytokine IL-10, and the cytokines IL-21 and IL-23 less commonly measured in AD and not surveyed previously in relation to WMH. The findings suggest potential utility in surveying inflammatory markers more broadly in AD or small vessel disease populations and of combining multiple markers to characterize and quantify relevant inflammatory activities.

In participants with AD, the inflammatory factor was associated with lower FA in periventricular WMH, but no relationship was found with deep WMH. These findings in patients with AD would be consistent with hypothesized synergy between AD and small vessel disease. In animal models, the combination of ischemia and amyloid causes greater microglial activation than either alone, resulting in additive depression of entorhinal cortical synapses 13. In an animal model, blocking the action of IL-1β reversed that effect ex vivo, suggesting that neuroinflammation mediates synergy between amyloid and ischemia. It is therefore plausible that the degree of tissue disruption within ischemic brain lesions would be related to an inflammatory response, specifically in participants with AD.

In participants without AD, the identified inflammatory factor was neutral in relation to periventricular WMH microstructure but was associated with greater FA in deep WMH. Many cytokines have proinflammatory and anti-inflammatory effects; for instance, IL-10 is likely to be neuroprotective in stroke 9, 10, although its role in small vessel disease is not well understood. In this study, CFA confirmed that the expression of IL-10 tended to co-occur with inflammatory cytokines. It has been described that IL-21 not only contributes to neuroinflammatory responses but also to IL-10 production from a regulatory population of B cells 14. The present findings in toto suggest that the possible beneficial effects of certain inflammatory processes on WMH microstructure may not be realized in AD. Further studies should seek to replicate and elaborate on these results.

In a previous clinical study, increased TNF was found to predict cognitive progression in AD, suggesting potential clinical relevance of the present findings 2. In another study, peripheral TNF responses predicted poorer cognitive status specifically in the presence of vascular disease, whereas predominating IL-10 responses were associated with better cognitive status 15. Both IL-23 and IL-21 have been implicated in AD 8, 16 and in cerebral hypoxic responses 9, 17, although their roles in small vessel disease have not been described. IL-23 stabilizes T cells expressing IL-17A and IL-17F, but IL-17A and IL-17F did not appear to be part of the inflammatory factor modeled here, suggesting little shared variance between peripheral IL-17 effector cytokines and the others included. This and other potential factor structures should be tested and confirmed in future studies. Regardless, these preliminary data suggest that expression of several intercorrelated pleiotropic cytokines may constitute an immune signature of vulnerability to cerebral small vessel disease in the periventricular white matter of those with AD.

Although this cohort was recruited carefully such that demographics did not differ between AD and non-AD groups, the small sample size precluded control for potential demographic confounders; however, demographics did not correlate with FA or inflammatory factors. Larger studies will be required to determine if peripheral inflammation might also reflect WMH volumes. Although peripheral cytokines do not necessarily mirror microglial activity, inflammatory signals can be propagated across the blood-brain barrier by multiple known mechanisms 1, and increased permeability of the blood-brain barrier is seen in the vicinity of WMH at autopsy 4, 5, which may alter peripheral inflammatory signatures. As a potential limitation, this inflammatory factor should be considered only one among many possible models; however, its validity was verified, demonstrating the utility of CFA to model and estimate immune activation as a latent variable using multiple cytokines as observed indicators. Larger replication studies might examine additional white matter characteristics in relation to inflammation (e.g., mean diffusivity in WMH lesions and in adjacent normal appearing white matter), alternative inflammatory factors (e.g., composed of other cytokines and growth factors), and potential relationships between these parameters and cognitive and functional decline or cerebral amyloid and tau.

Research in Context

1. Systematic review: The authors identified from publicly available sources, abstracts, and presentations, publications that describe relationships between peripheral inflammatory activity and Alzheimer's disease (AD), and the potential relevance of cerebral small vessel disease in AD; however, relationships between peripheral inflammatory markers and small vessel disease characteristics have not been established in vivo.
2. Interpretation: Preliminary findings suggest that microstructural characteristics of the white matter affected by periventricular cerebral small vessel disease are related to peripheral inflammatory activity, specifically in patients with AD. A multimodal magnetic resonance imaging method, including T1, T2, fluid attenuated inversion recovery (FLAIR), and diffusion tensor imaging, may be needed to localize and quantify tissue characteristics related to inflammation.
3. Future directions: The results should be replicated and elaborated on through (1) further quantification of tissue characteristics relevant to inflammation using diffusion tensor imaging within and around white matter lesions, (2) more robust characterization of peripheral inflammatory responses related to cerebral small vessel disease, and (3) the utility of these imaging and peripheral inflammatory biomarkers to predict AD progression.

Acknowledgments

This study was supported by the Canadian Institutes of Health Research, the Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, the Alzheimer Society of Canada, and the Heart and Stroke Foundation of Canada. W.S. gratefully acknowledges support from the Department of Pharmacology and Toxicology, University of Toronto; the Hurvitz Brain Sciences Program, Sunnybrook Research Institute; and the Department of Psychiatry, Sunnybrook Health Sciences Centre. S.E.B. gratefully acknowledges support from the Brill Chair in Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto; the Toronto Dementia Research Alliance, University of Toronto; the Department of Medicine, Sunnybrook Health Sciences Centre; and the Hurvitz Brain Sciences Program, Sunnybrook Research Institute.

Conflicts of interest: W.S. reports no conflicts of interest. S.E.B. reports institutional grants from Pfizer, GE Healthcare, Eli Lilly, Transition Therapeutics, Novartis, Roche, Cognoptix, and Biogen Idec and personal honoraria from Boehringer Ingelheim, Novartis, Merck, and Eli Lilly.